Effect of attribute perception factors on mode choice preferences among public transport users

Users may form certain perceptions on the attributes of characteristics. This specific type of perception is referred to as attribute perception. Studies have shown that attribute perception influences travel decisions. Recently, in the field of transportation, there is an increased interest in exploring attribute perception and its impacts on users’ decisions on the choice of transport mode. Previous studies have identified a range of travel factors influencing passenger’s mode of choice, while there has been little effort on the exploration of the significance of these attribute perceptions. Hence, this study explored the impacts of attribute perception on the preferred choice of transport mode among public transport users in Dhaka, Bangladesh. To achieve this aim, a conceptual modelling framework was developed based on the Capability, Opportunity, and Motivation-Behavior (COM-B) model, which allows an extensive range of factors influencing mode choice to be considered. A self-administered survey was conducted to obtain users’ perceptions on public transport attributes. Cronbach’s alpha was used to identify reliability and internal consistency of the questionnaire and results showed that the questionnaire was found to have an adequate internal consistency. The Cronbach’s alpha ranged from .81 to .91 for the six attributes instrument. The data were extracted from 773 respondents from the two busiest routes in Dhaka city, namely Uttara to Azimpur and Mirpur to Motijheel. This conceptual relationship model was investigated using modelling approaches. Initially, the explanatory factor analysis (EFA) was used to determine the attribute perception factors’ underlying dimensions. Next, multiple linear regression analysis was used to investigate the relationship between attribute perception factors and travel behaviour. Finally, a multinomial logit model (MNL) was employed to explore the effect of attribute perception on the preferred choice of public transport users. The findings showed that the confidence level for regression model was 95% and its coefficient was defined as Sig < 0.05. Besides, the results showed that the attribute perception factors such as travel time, travel fare, waiting time, travel distance, comfort, and reliability had significant effects on passenger preference of travel modes among the different choices available. The results of this study have contributed to a better understanding of transport mode choice in Dhaka city and provided a foundation for future attribute perception-based mode choice research

Teaching Performance of Primary School Teachers and its Impact on Students’ Academic Achievement in Bangladesh.

The study mainly dealt with the teaching performance of primary school teachers and its impact on students’ academic achievement in Bangladesh. It reveals the teaching performance of teachers considering five important indicators. The academic achievement was also looked into account examining the five important indicators. Social survey method was adopted and both primary and secondary data were used. Data were collected through questionnaire and interviews. Sample was taken randomly and the total number of sample was 120. 60 teachers of govt. and 60 teachers of non-govt. primary schools were taken to make a comparison. 15 Govt. and 15 non-govt. primary schools were taken to assess the policy implementation including other formal activates. The study has found that there are some lacks of teachers in performing their duties. For this reason, the academic achievement of the students’ is not satisfactory in both of the govt. and non-govt. primary schools. Comparatively the performance of govt. primary school teachers is more satisfactory than non-govt. primary school teachers in Bangladesh. So, the students’ academic achievement is low as to the expectation in both of the govt. and non-govt. primary schools. Keywords: Teaching Performance, Primary School, Academic Achievement, Bangladesh

Paper Based Pressure Sensor for Green Electronics

This work reports a resistive paper-based disposable pressure sensor based on porous 3D conductive cellulose micro-fiber network. The conductivity in microfibers was achieved by subjecting the network to graphene oxide (GO) - poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT: PSS) solution. The modified cellulose matrix is sandwiched between graphite paper electrodes so that overall structure is flexible. The device tested in 32-386 Pa range detected a minimum of 34 Pa and exhibited fast dynamic response (in tenths of seconds) with excellent repeatability. The proposed approach for disposable sensors is a step towards green electronics and holds promise for wide range of wearable applications

Formal Education and Socio-Economic Condition of Rural People in Bangladesh: A Comparative Study between Literate and Illiterate People on Raninagar Upazilla of Naogaon District

Abstract: The study focuses only the socio-economical condition of the people who take the formal education from any institution. This paper is to explore the difference between literate and illiterate people, their socio-economic condition and their life style in society. The study represent that literate people earn more compared to the illiterate people. Social acceptance of literate respondents was found significant compared to the illiterate respondents in the study area. Formal education developed the people of social relationship, interaction of individuals, groups, institutions and organization of society. Formal education has a positive effect on health .Most of the literate people having good health but illiterate people not having good health. Illiterate people suffer from various diseases. So, it may be declared that the formal education has a positive effect on the society. In this study it is clear that the literate families were found comparatively developed than illiterate families. So, it can be boldly pronounced that there are significant effects of formal education in every sphere of human life and on society. Keywords: Formal Education, Socio-economic Condition, Comparative Study, Literate and Illiterate People, Bangladesh

Graphene Oxide-Chitosan Based Flexible Biosensor

The paper presents flexible graphene oxide (GO)-Chitosan composite based biosensor for electrochemical detection of dopamine (DA). Electrochemical redox based detection tool for analytes has gained popularity due to their high specificity, sensitivity and label free technique. The GO-Chitosan based electrochemical electrodes presented here for three-electrode voltammetry have Ag/AgCl and Platinum based reference and counter electrode, respectively. The cyclic voltammetry (CV) of DA with as prepared electrode show quasi-reversible behaviour with characteristic cathodic peak (7pc) at +200mV and anodic peak (7pa) at -400mV. The voltammogram showed stability against repetitive scan cycles while the peak current showed increase with scan rates (100-200mV/s). The sensors show steady state peak enhancement (6.05-134.05pA) with DA concentration range of 0-100pM. The fabricated electrode is suitable for measuring DA with high sensitivity. The biodegradability of the prepared electrode is suitable for eco-friendly and disposable applications, which aligns with the green technology

Engineered chitosan for improved 3D tissue growth through Paxillin-FAK-ERK activation

Scaffold engineering has attracted significant attention for three-dimensional (3D) growth, proliferation and differentiation of stem cells in vitro. Currently available scaffolds suffer from issues such as poor ability for cell adhesion, migration and proliferation. This paper addresses these issues with 3D porous chitosan scaffold, fabricated and functionalized with cysteine-terminated Arg-Gly-Asp (Cys-RGD) tri-peptide on their walls. The study reveals that the compressive moduli of the scaffold is independent to RGD functionalization but shows dependence on the applied freezing temperature (TM) during the fabrication process. The low freezing TM (−80°C) produces scaffold with high compressive moduli (14.64 ± 1.38 kPa) and high TM (−30°C) produces scaffold with low compressive moduli (5.6 ± 0.38 kPa). The Cys-RGD functionalized scaffolds lead to significant improvements in adhesion (150%) and proliferation (300%) of human mesenchymal stem cell (hMSC). The RGD-integrin coupling activates the focal adhesion signaling (Paxillin-FAK-ERK) pathways, as confirmed by the expression of p-Paxillin, p-FAK and p-ERK protein, and results in the observed improvement of cell adhesion and proliferation. The proliferation of hMSC on RGD functionalized surface was evaluated with scanning electron microscopy imaging and distribution though pore was confirmed by histochemistry of transversely sectioned scaffold. The hMSC adhesion and proliferation in scaffold with high compressive moduli showed a constant enhancement (with a slope value 9.97) of compressive strength throughout the experimental period of 28 days. The improved cell adhesion and proliferation with RGD functionalized chitosan scaffold, together with their mechanical stability, will enable new interesting avenues for 3D cell growth and differentiation in numerous applications including regenerative tissue implants

EFFECT OF YARN COUNT & STITCH LENGTH ON SHRINKAGE, GSM AND SPIRALITY OF SINGLE JERSY COTTON KNIT FABRIC

Single jersey cotton weft knitted fabrics tend to undergo a certain dimensional changes due to different yarn parameters and knitting parameters. The investigation was carried out to compare the effect of different yarn counts &amp; stitch lengths on the spirality, GSM and shrinkage of knitted fabric. In this study the experimental results show that when yarn count is fixed, the increment of stitch length results decrement of spirality, increment of shrinkage and decrement of GSM. On the contrary, when stitch length is fixed, the increment of yarn count results increment of spirality, decrement of shrinkage and decrement of GSM. Some exceptions were also experienced

Mesoporous chitosan based conformable and resorbable biostrip for Dopamine detection

This work presents a chitosan based resorbable biostrip for label-free electrochemical detection of dopamine (DA).The biostrip consists of mesoporous-chitosan-graphene oxide (m-Chit-GO) composite-based sensing electrode and graphene-based interconnects. Obtained with particulate leaching, the m-chit-GO showed average pore size of 1μmwith slow (2 h) curing process. The response of DA on m-Chit-GO was investigated and compared with their bulk counterpart to study the effect of mesoporosity on voltammogram output signals. The voltammetric investigations were performed with three-electrode set-up using m-Chit-GO electrode as working electrode whereas Ag/AgCl and Graphene were used as a reference and counter electrodes, respectively. The quantitative analysis of concentration-dependent voltammetric peak-current enhancement revealed significantly higher response for m-Chit-GO (10pM) as compared to their bulk state (100 nM) on DA. The presented resorbable biostrip offers a limit of detection of 10pM and thereby shows great promise for detection of DA levels for early diagnosis of neurodegenerative diseases

Global, regional, and national burden of disorders affecting the nervous system, 1990–2021: a systematic analysis for the Global Burden of Disease Study 2021

BackgroundDisorders affecting the nervous system are diverse and include neurodevelopmental disorders, late-life neurodegeneration, and newly emergent conditions, such as cognitive impairment following COVID-19. Previous publications from the Global Burden of Disease, Injuries, and Risk Factor Study estimated the burden of 15 neurological conditions in 2015 and 2016, but these analyses did not include neurodevelopmental disorders, as defined by the International Classification of Diseases (ICD)-11, or a subset of cases of congenital, neonatal, and infectious conditions that cause neurological damage. Here, we estimate nervous system health loss caused by 37 unique conditions and their associated risk factors globally, regionally, and nationally from 1990 to 2021.MethodsWe estimated mortality, prevalence, years lived with disability (YLDs), years of life lost (YLLs), and disability-adjusted life-years (DALYs), with corresponding 95% uncertainty intervals (UIs), by age and sex in 204 countries and territories, from 1990 to 2021. We included morbidity and deaths due to neurological conditions, for which health loss is directly due to damage to the CNS or peripheral nervous system. We also isolated neurological health loss from conditions for which nervous system morbidity is a consequence, but not the primary feature, including a subset of congenital conditions (ie, chromosomal anomalies and congenital birth defects), neonatal conditions (ie, jaundice, preterm birth, and sepsis), infectious diseases (ie, COVID-19, cystic echinococcosis, malaria, syphilis, and Zika virus disease), and diabetic neuropathy. By conducting a sequela-level analysis of the health outcomes for these conditions, only cases where nervous system damage occurred were included, and YLDs were recalculated to isolate the non-fatal burden directly attributable to nervous system health loss. A comorbidity correction was used to calculate total prevalence of all conditions that affect the nervous system combined.FindingsGlobally, the 37 conditions affecting the nervous system were collectively ranked as the leading group cause of DALYs in 2021 (443 million, 95% UI 378–521), affecting 3·40 billion (3·20–3·62) individuals (43·1%, 40·5–45·9 of the global population); global DALY counts attributed to these conditions increased by 18·2% (8·7–26·7) between 1990 and 2021. Age-standardised rates of deaths per 100 000 people attributed to these conditions decreased from 1990 to 2021 by 33·6% (27·6–38·8), and age-standardised rates of DALYs attributed to these conditions decreased by 27·0% (21·5–32·4). Age-standardised prevalence was almost stable, with a change of 1·5% (0·7–2·4). The ten conditions with the highest age-standardised DALYs in 2021 were stroke, neonatal encephalopathy, migraine, Alzheimer's disease and other dementias, diabetic neuropathy, meningitis, epilepsy, neurological complications due to preterm birth, autism spectrum disorder, and nervous system cancer.InterpretationAs the leading cause of overall disease burden in the world, with increasing global DALY counts, effective prevention, treatment, and rehabilitation strategies for disorders affecting the nervous system are needed

Mammalian cell based electrochemical sensor for label free monitoring of analytes

No abstract available